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Written by the engineers who shipped it

What held up in production, what we changed, and what we would build differently next time.

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Agentic AI6 min readBy Rohit Mane

Where agents actually save time in the commerce SDLC

Design handoffs, integration, QA and release run by agents, and the approval checkpoints that stay with people.

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5 min readCloud & PlatformExecutive Focus

Four things slowing your commerce stack

Load times, checkout friction, unused selling channels, scattered data. What each one costs you, and what to change first.

By Praveen Nirapure and Rakesh Deshmukh
4 min readAI & ML EngineeringTechnical Focus

Measuring GenAI productivity in CFO language

Baselines that hold up, experiments that control for novelty, and how to restate a time saving as money a CFO recognises.

By Praveen Nirapure and Rakesh Deshmukh
6 min readAgentic AI & AgentOpsTechnical Focus

Where agents actually save time in the commerce SDLC

Design handoffs, integration, QA and release run by agents, and the approval checkpoints that stay with people.

By Rohit Mane
6 min readAgentic AI & AgentOpsExecutive Focus

Ten checks before a GenAI project gets funded

What to settle before committing budget: readiness, architecture, data sensitivity, compliance, and where human approval stays mandatory.

By Praveen Nirapure and Gaurav Gupta
4 min readAgentic AI & AgentOpsTechnical Focus

Six pillars an AI agent needs to survive production

Key architectural requirements separating disposable prototypes from resilient, auditable enterprise agent infrastructure.

By Rohit Mane